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Oxford University Press (OUP), Monthly Notices of the Royal Astronomical Society, 3(478), p. 4225-4237, 2018

DOI: 10.1093/mnras/sty1313

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Automatic vetting of planet candidates from ground-based surveys: machine learning with NGTS

Journal article published in 2018 by David J. Armstrong ORCID, Maximilian N. Günther ORCID, James McCormac, Alexis M. S. Smith ORCID, Daniel Bayliss ORCID, François Bouchy, Matthew R. Burleigh, Sarah Casewell, Philipp Eigmüller ORCID, Edward Gillen, Michael R. Goad, Simon T. Hodgkin, James S. Jenkins, Tom Louden, Lionel Metrailler and other authors.
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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